Solutions · Cost predictability

Switch from a variable bill to a predictable annual budget

Replace unpredictable bills with a known budget, without sacrificing AI performance.

Estimate my savings Our approach

A framework for financial control

Forecast with confidence

Estimate your costs before launch and avoid nasty surprises once in production.

Built-in guardrails

Set budget thresholds, automatic alerts and automated actions to avoid bill shocks.

Continuous optimization

Track actual costs and continuously improve your infrastructure's performance.

Problem

Why AI costs drift out of control

Most AI projects start with an estimated budget. Then come new use cases, more users and more powerful models. Without guardrails, costs rise fast.

Approach

A cost engineering framework for production AI

Understand how your teams actually use AI
Simulate model and infra scenarios
Set spending limits and rules to prevent overruns
Monitor, review and optimize monthly

Outcomes

What you get

Forecast model validated by finance and engineering

Clear unit economics per assistant/use case

Operational playbook for cost incidents

You're overspending. Your data is hosted elsewhere. There's a better way.

Keep control of your data. Cut your costs. No surprises on the bill.

Real-world example: a 200-person company

-67 % savings on your AI costs, while keeping your data under your control.

AI in the cloud

€6,992 /mo

Private infrastructure

€2,300 /mo

Monthly savings

€4,692(-67%)

Annual savings

€56,304 /yr

Calculate my savings

Simulation based on public pricing. Actual savings depend on your usage.

Need predictable AI costs for 2026 planning?

We can build your first cost forecast and control framework in a focused engagement.

Talk to an expert